Mpumalanga vs Peru: Historical exposure to drought — Cropland soil moisture anomaly

Mpumalanga
13.79 Percentage change
in 2025
Peru
3.13 Percentage change
in 2025
Mpumalanga rank
15th
Peru rank
17th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Mpumalanga
  • Peru
-40-20020195019872025

How they compare

Mpumalanga currently reports 13.79 Percentage change against 3.13 Percentage change in Peru, a difference of 10.66 Percentage change.

That makes Mpumalanga's figure about 4.4 times Peru's.

The two have swapped places 28 times across 76 shared years of data; in 1950 it was Mpumalanga ahead.

Mpumalanga ranks 15th and Peru ranks 17th of 2960 regions.

Across the 8 decades both report, Mpumalanga averaged higher in 2 and Peru in 6.

Head to head by decade

Decade Mpumalanga Peru Difference Ahead
1950s -10 Percentage change -0.316 Percentage change 9.69 Percentage change Peru
1960s -6.53 Percentage change -2.53 Percentage change 3.99 Percentage change Peru
1970s 5.49 Percentage change 0.7507 Percentage change 4.74 Percentage change Mpumalanga
1980s 1.08 Percentage change 1.33 Percentage change 0.2494 Percentage change Peru
1990s -4.2 Percentage change 0.0778 Percentage change 4.28 Percentage change Peru
2000s 2.66 Percentage change -1.2 Percentage change 3.86 Percentage change Mpumalanga
2010s -12.42 Percentage change -1.92 Percentage change 10.5 Percentage change Peru
2020s -2.66 Percentage change -2.55 Percentage change 0.1123 Percentage change Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Mpumalanga or Peru?
Mpumalanga, at 13.79 Percentage change against 3.13 Percentage change in Peru as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Mpumalanga and Peru?
10.66 Percentage change, with Mpumalanga ahead.
How many years of comparable data are there for Mpumalanga and Peru?
76 years are reported by both, from 1950 to 2025.
How do Mpumalanga and Peru rank globally for historical exposure to drought — cropland soil moisture anomaly?
Mpumalanga ranks 15th and Peru ranks 17th of 2960 regions.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Cropland soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Mpumalanga vs Peru: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 26 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/mpumalanga/peru/

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About this data

Indicator
Historical exposure to drought — Cropland soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,200 places, 243,200 data points, 1950–2025
Last refreshed

The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org